Datathon is a competition focused on using data science techniques to solve a real-world issue in any discipline. Similar to hackathons, participants are responsible for creating a product that can solve practical problems. Final products include, but are not limited to, machine learning models, insights from statistical analysis, and business solutions based on predictive models. The competition will take place on a weekend in mid-October 2021 and is open for any UW-Madison students.
Requirements
All source code (GitHub link)
Presentation file (.pptx/.pdf)
Short description of project & how it impacts society (.txt/.pdf)
Prizes
Winners
Each member of the team will get $200 in a gift card of their choice.
1st Runner Up
Each member of the team will get $100 in a gift card of their choice.
2nd Runner Up
Each member of the team will get $50 in a gift card of their choice.
Best Presentation
Each member of the team will get $50 in a gift card of their choice.
Google Cloud API Challenge Winner
Each member of the winning team will receive a Google Cloud branded backpack.
Google Cloud API Challenge Runner Up
Each member of the winning team will receive a Google Cloud swag box.
Most Popular Hack
Each member of the winning team will get $25 in a gift card of their choice.
Devpost Achievements
Submitting to this hackathon could earn you:
Judges
Matt Harrington
Software Development Lead - Cognitive Computing, Epic
Tyler Caraza-Harter
Instructor, UW-Madison
Meena Syamkumar
Assistant Faculty Associate, University of Wisconsin-Madison
Bret Larget
Professor of Statistics and of Botany, University of Wisconsin
Kris Sankaran
Assistant Professor, Department of Statistics @ UW Madison
Rob Langenberg
Principal Analytics Data Engineer, John Deere
Dr. Srinivas Sridharan
UIUC Site Leader and Lead Data Scientist, Corteva Agriscience
Dawn Sepehr
Research Scientist, Thomson Reuters Labs
Judging Criteria
-
Creativty
Does your project demonstrate a distinctly innovative approach to a real-world issue? -
Productivity
Does your project have a unique application? Can it benefit the target audience substantially? -
Product Quality
-
Verbal Presentation
Do you make a compelling argument? -
Use of Data Science
Do you use advanced and customized data science methods to maximize insights from the dataset? -
Documentation
Do you provide clear and detailed documentation for full reproducibility? -
Model Results
Do your results approach state-of-the-art levels and indicate readiness for real-world deployment of the model? PS: Subject to project type (not applicable to all projects) -
Design
Is the message communicated through the UI fresh and compelling? The project should be very well organized so that users can use the application without any additional instructions. PS: Subject to project type (not applicable to all projects)
Questions? Email the hackathon manager
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